144 citations
- Johannes Kepler University of LinzAT14 papers
- Universidade Federal do ABCBR7 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- University of PortsmouthGB4 papers
- Institut d'Astrophysique de ParisFR3 papers
- Research Center for Non Destructive Testing (Austria)AT3 papers
- Sorbonne UniversitéFR3 papers
- University of OxfordGB3 papers
- Boston Children's HospitalUS2 papers
- Harvard UniversityUS2 papers
- Software Competence Center Hagenberg (Austria)AT2 papers
- Technische Hochschule UlmDE2 papers
78 papers
The Complex Green's Function for Symmetric Sets
Klaus Schiefermayr, Olivier Sète
The aim of this paper is threefold: (i) We study the complex Green's function (the analytic extension of the real Green's function) for multiply connected domains with some symmetr…
A Comparative Study of Model Selection Criteria for Symbolic Regression
Ali Soltani, Gabriel Kronberger, Fabricio Olivetti de Franca +2
Effective model selection is critical in symbolic regression (SR) to identify mathematical expressions that balance accuracy and complexity, and have low expected error on unseen d…
Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems
Martina Zeinzinger, Josef Langer, Florian Eibensteiner +4
An SRAM Physical Unclonable Function (PUF) can distinguish SRAM modules by analyzing the inherent randomness of their start-up behavior. However, the effectiveness of this techniqu…
Software-Hardware Binding for Protection of Sensitive Data in Embedded Software
Bernhard Fischer, Daniel Dorfmeister, Flavio Ferrarotti +4
Embedded software used in industrial systems frequently relies on data that ensures the correct and efficient operation of these systems. Thus, companies invest considerable resour…
Introduction to Symbolic Regression in the Physical Sciences
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira +1
Symbolic regression (SR) has emerged as a powerful method for uncovering interpretable mathematical relationships from data, offering a novel route to both scientific discovery and…
Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger +1
Many machine learning models perform well when making predictions within the training data range, but often struggle when required to extrapolate beyond it. Symbolic regression (SR…